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20212026
most citedLanguage Models as Zero-Shot Trajectory Generators

55 citations · 55 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100

Francesco Mantegna, Gereon Elvers, Dulhan Jayalath +18

The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculum for non-invasive speech decoding. Designed to progress from foundational tasks…

cs.LG2026

LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale

Francesco Mantegna, Dulhan Jayalath, Gereon Elvers +12

We introduce LibriBrain100, a large-scale MEG dataset for speech decoding designed from the ground up for reproducible, standardised evaluation. LibriBrain100 more than doubles the…

cs.LG2026

Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech

Benjamin Ballyk, Teyun Kwon, Miran Özdogan +1

Non-invasive brain-to-speech decoding aims to restore communication to patients suffering from neurodegenerative disease, without the risks of neurosurgery. Existing MEG- and EEG-b…

cs.LG2025

The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset

Gilad Landau, Miran Özdogan, Gereon Elvers +15

The advance of speech decoding from non-invasive brain data holds the potential for profound societal impact. Among its most promising applications is the restoration of communicat…

cs.RO2023★ 55 cited

Language Models as Zero-Shot Trajectory Generators

Teyun Kwon, Norman Di Palo, Edward Johns

Large Language Models (LLMs) have recently shown promise as high-level planners for robots when given access to a selection of low-level skills. However, it is often assumed that L…

cond-mat.mtrl-sci2021

Vibrational Modes and Terahertz Physical Phenomena Underpinning ZIF-71 Metal-Organic Framework

Annika F. Möslein, Jin-Chong Tan

The zeolitic imidazole framework ZIF-71 has the potential to outperform other well-studied metal-organic frameworks due to its intrinsic hydrophobicity and large pore size. However…